In order to ensure that people can receive rapid and effective rescue in the event of acute outdoor illness, and to solve the problems of insufficient rescue equipment and inability of medical personnel to arrive immediately during emergency rescue, the work aims to rationally define the urban emergency vehicles and propose a new type of pre-hospital emergency rescue method based on emergency robots. Based on the fuzzy Kano model, the demand attributes were analyzed, and a combination of 1-9 scale weighting method and entropy weighting method was used to obtain the priority ranking of user demands. The demands were transformed into functional descriptions through functional technology analysis (FAST) and perform design output. The emergency robots were applied to the pre-hospital emergency service system to meet the user demands for medical rescue and services, achieve the goal of rapid rescue, and improve the success rate of emergency through sharing mode. A FKANO-EWM-FAST integrated model is built to overcome perceptual factors, achieve layer upon layer transformation based on functional requirements, and ultimately achieve user oriented design goals, improving the accuracy and scientificity of the design process, and providing solutions to similar problems.